Limited bursaries available

Join our tech bursary program and learn tech directly from industry professionals

To apply for a bursary please complete the form below and we will contact you. Alternatively you may email info@natedstudies.co.za.

Bursary Programs Available

Software Engineering: Application Development

Master the art of building powerful, user-friendly software applications. This program equips you with practical skills in coding, design, and development, empowering you to create robust apps and launch a rewarding career in software engineering.

Software Engineering: Artificial Intelligence

Become an AI specialist with our cutting-edge software engineering program. Gain hands-on experience in developing intelligent systems, mastering machine learning techniques, and unlocking the skills to lead in the rapidly growing field of Artificial Intelligence.

Who can apply?

  • Classified Youth between the ages of 18 - 35.

  • Grade 12 with Mathematics (compulsory). Applicants with strong math results will receive preference.

  • No prior employment or full-time studies.

  • You must be able to prove that you or your household is unable to financial support your studies.

  • Coding experience or tech-related projects (such as creating a game or solving a problem using technology) will be beneficial and count in your favor.

  • Personal motivation and demonstrated interest in technology are highly valued.

  • Candidates are required to submit proof of their financial inability to fund their studies.

  • Available to study full time on site in Menlyn, Pretoria from 01 June 2025 - 31 May 2027. Note: Bursary does not include accommodation.

How do i apply?

Applications must contain the following documentation:

  • Certified ID

  • Proof of Grade 12 with Grade 12 results

  • Highest qualification achieved (if not grade 12)

  • Cover letter telling us about yourself and why you would make a good candidate for the program

  • Proof of any code or IT related projects you completed that you believe will help your application

All applications must be submitted via email to: info@natedstudies.cO.za

Take special note

  • Program is 24 months on site in Menlyn Pretoria.

  • Bursary does not include travel and accommodation fees.

  • Bursary does not include a Stipend.

  • Bursary only covers tuition fees.

  • Learners are promoted to bring their own laptops, however access to IT facilities are included for use on site

Experience a learning experience powered by AI

Learn more about the programs…

Occupational Certificate: Artificial Intelligence NQF 5

Module 1: Foundations of Artificial Intelligence

  • Component 1: Overview of Artificial Intelligence

  • Component 2: AI in Business and Society

  • Component 3: History and Evolution of AI

  • Component 4: Key Applications of AI

Module 2: Essential Mathematics and Statistics

  • Component 1: Mathematical Basics

  • Component 2: Introduction to Statistics

  • Component 3: Data Structures and Algebra

  • Component 4: Statistical Methods for AI

Module 3: Analytical Thinking and Problem Solving

  • Component 1: Analytical Thinking Techniques

  • Component 2: Problem-Solving Strategies

  • Component 3: Decision-Making in AI

  • Component 4: Applying Problem Solving to AI

Module 4: Data and Database Management

  • Component 1: Data Types and Structures

  • Component 2: Database Fundamentals

  • Component 3: Data Visualization Tools

  • Component 4: SQL and Data Querying

Module 5: Fundamentals of Computing Theory

  • Component 1: Introduction to Algorithms

  • Component 2: Computing Logic and Structures

  • Component 3: Programming Basics

  • Component 4: Computational Theory for AI

Module 6: Introduction to Machine Learning

  • Component 1: Basics of Machine Learning

  • Component 2: Types of ML Models

  • Component 3: Common ML Algorithms

  • Component 4: ML Workflow and Frameworks

Module 7: Deep Learning Concepts

  • Component 1: Neural Network Fundamentals

  • Component 2: Advanced Python for DL

  • Component 3: TensorFlow Basics

  • Component 4: Building Neural Networks in Keras

Module 8: AI Governance, Legislation, and Ethics

  • Component 1: Ethics in AI

  • Component 2: Data Privacy and Compliance

  • Component 3: AI Legislation Overview

  • Component 4: Security Principles for AI

Module 9: Advanced Machine Learning

  • Component 1: Supervised Learning Techniques

  • Component 2: Unsupervised Learning Techniques

  • Component 3: Reinforcement Learning

  • Component 4: Advanced ML Tools

Module 10: Applied Data Analysis

  • Component 1: Data Analysis with Spreadsheets

  • Component 2: Data Visualization Techniques

  • Component 3: Data Wrangling and Cleaning

  • Component 4: Descriptive and Predictive Analytics

Module 11: Software Development with Python

  • Component 1: Python Basics and Libraries

  • Component 2: Data Manipulation with Python

  • Component 3: AI-Specific Python Libraries

  • Component 4: Object-Oriented Programming in Python

Module 12: Building AI Applications

  • Component 1: Project Planning for AI

  • Component 2: AI Solution Development

  • Component 3: Testing and Validation

  • Component 4: Deployment and Maintenance

Module 13: AI Frameworks and Tools

  • Component 1: Overview of AI Frameworks (TensorFlow, Keras)

  • Component 2: Introduction to Pytorch

  • Component 3: API Integration

  • Component 4: Selecting Frameworks for Projects

Module 14: Design Thinking and Innovation in AI

  • Component 1: Design Thinking Fundamentals

  • Component 2: Innovation in Software Solutions

  • Component 3: User-Centric AI Design

  • Component 4: Creative Problem-Solving Techniques

Module 15: Advanced Data Science Techniques

  • Component 1: Data Mining Techniques

  • Component 2: Statistical Modeling

  • Component 3: Predictive Analytics

  • Component 4: Prescriptive Analytics

Module 16: AI in the Context of the 4th Industrial Revolution

  • Component 1: 4IR Overview and AI’s Role

  • Component 2: Emerging Technologies in AI

  • Component 3: Industry-Specific Applications

  • Component 4: Future Skills for AI Professionals

Module 17: Capstone Project Development

  • Component 1: Capstone Project Planning

  • Component 2: Model Development and Testing

  • Component 3: Documentation and Presentation

  • Component 4: Final Project Evaluation

Module 18: Work Experience Module

  • Component 1: AI Solution Design and Interpretation

  • Component 2: Performance Testing for AI

  • Component 3: Deployment and Modification of Solutions

  • Component 4: Team Collaboration in AI Projects

Occupational Certificate: Software engineer NQF 5

Module 1: Introduction to Computing and Systems

  • Component 1: Computer Hardware and System Components

  • Component 2: Networking Basics and Connectivity

  • Component 3: Storage and File Management

  • Component 4: Security Fundamentals

Module 2: Professional Software Tools

  • Component 1: Office and Productivity Software

  • Component 2: Data Visualization Tools

  • Component 3: Digital Communication Platforms

  • Component 4: Software Utility Management

Module 3: Web Data Sources and Big Data

  • Component 1: Web Scraping Fundamentals

  • Component 2: Data Quality and Governance

  • Component 3: Introduction to Big Data

  • Component 4: Data Wrangling Techniques

Module 4: Logical Thinking and Basic Calculations

  • Component 1: Mathematical Thinking for Problem Solving

  • Component 2: Binary and Decimal Conversions

  • Component 3: Error in Calculations and Accuracy

  • Component 4: Cartesian Coordinates and Geometry Basics

Module 5: Computing Theory and Basics of Programming

  • Component 1: Introduction to Programming Languages

  • Component 2: Basics of Algorithm Development

  • Component 3: Logic and Mathematical Operations

  • Component 4: Simple Data Structures

Module 6: HTML5 and Web Development Foundations

  • Component 1: HTML5 Structure and Syntax

  • Component 2: CSS Styling Basics

  • Component 3: JavaScript Fundamentals

  • Component 4: User Interface and Interaction

Module 7: Advanced Software Development with HTML and Libraries

  • Component 1: HTML5 Advanced Elements

  • Component 2: Responsive Design with CSS

  • Component 3: JavaScript for Web Development

  • Component 4: Working with Libraries and Frameworks

Module 8: Unified Modeling Language (UML)

  • Component 1: Introduction to UML

  • Component 2: Use Cases and Activity Diagrams

  • Component 3: Class and Object Diagrams

  • Component 4: Sequence and Communication Diagrams

Module 9: Data Management and MVC

  • Component 1: Database Basics and SQL

  • Component 2: Querying and Data Manipulation

  • Component 3: MVC Architecture

  • Component 4: Presenting Data

Module 10: Software Development Life Cycle

  • Component 1: Project Planning and Requirement Analysis

  • Component 2: System Design and Prototyping

  • Component 3: Testing and Quality Assurance

  • Component 4: Deployment and Maintenance

Module 11: Programming Languages and Algorithms

  • Component 1: Data Types and Variables

  • Component 2: Control Structures (Loops, Conditionals)

  • Component 3: Algorithm Optimization

  • Component 4: Code Refactoring and Best Practices

Module 12: Advanced Python Development

  • Component 1: Python Syntax and Libraries

  • Component 2: Data Handling and Manipulation

  • Component 3: Object-Oriented Programming in Python

  • Component 4: Web and Data Analysis Applications

 Module 13: Building Applications (Web, Mobile, Desktop)

  • Component 1: Web Application Development

  • Component 2: Mobile App Development

  • Component 3: Desktop Graphical Interfaces

  • Component 4: Cross-Platform Considerations

Module 14: Cloud Computing and Automation

  • Component 1: Cloud Platforms and Services

  • Component 2: Cloud Storage and Security

  • Component 3: Automation in the Cloud

  • Component 4: Deployment on Cloud Infrastructure

 Module 15: Ethics, Governance, and Legislation

  • Component 1: Data Privacy and Legal Compliance

  • Component 2: Ethical Standards in Development

  • Component 3: Security Best Practices

  • Component 4: Managing Risk and Compliance

Module 16: Design Thinking and Innovation

  • Component 1: Design Thinking Fundamentals

  • Component 2: Problem-Solving with Creativity

  • Component 3: Innovation in Software Development

  • Component 4: Applying Design Thinking to Projects

Module 17: Teamwork and Collaboration in Development

  • Component 1: Team Dynamics and Communication

  • Component 2: Collaborative Development Tools

  • Component 3: Version Control and Project Management

  • Component 4: Effective Feedback and Continuous Improvement

Module 18: Capstone Project

  • Component 1: Project Planning and Requirement Analysis

  • Component 2: Development and Implementation

  • Component 3: Testing, Documentation, and Presentation

  • Component 4: Final Capstone Presentation and Reflection